Psychometric properties of the interRAI subjective quality of life Instrument for mental health
Bibliographic record
Abstract
A new Subjective Quality of Life (SQoL) Instrument for inpatient and community mental health settings was developed by the interRAI research collaborative to support evaluation of quality in mental health settings from the person’s perspective. Ratings of SQoL provide important information about the quality of service and patient experience with the care they receive. This information can help staff to improve approaches to each person’s plan of care in a manner that is meaningful to the individual. This study examined the reliability of the SQoL-MH. 83 inpatients from several clinical departments in a mental health center in South Western Ontario, Canada were randomly assigned to either be interviewed or complete the assessment on his or her own. Reliability was tested using Cronbach’s Alpha. A preliminary factor analysis points to four SQoL-MH subscales with very good internal consistency, ranging from 0.83 to 0.90. Once finalized, the Subjective Quality of Life instrument will be integral to the interRAI suite of instruments used to assess persons with mental health needs. A reliable and valid SQoL-MH instrument will allow mental health service providers to shape or modify care environments in order to enhance quality of life. In addition, the SQoL-MH instrument could also benefit advocacy groups who use reports on quality of life to influence social policy development and funding decisions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".